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Contextualized Messages Boost Graph Representations

Contextualized Messages Boost Graph Representations

19 March 2024
Brian Godwin Lim
Galvin Brice Lim
Renzo Roel Tan
Kazushi Ikeda
    AI4CE
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Papers citing "Contextualized Messages Boost Graph Representations"

6 / 6 papers shown
Title
LGIN: Defining an Approximately Powerful Hyperbolic GNN
LGIN: Defining an Approximately Powerful Hyperbolic GNN
Srinitish Srinivasan
Omkumar CU
AI4CE
32
0
0
31 Mar 2025
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood
  Prediction
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
Eli Chien
Wei-Cheng Chang
Cho-Jui Hsieh
Hsiang-Fu Yu
Jiong Zhang
O. Milenkovic
Inderjit S Dhillon
131
130
0
29 Oct 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
161
1,095
0
27 Apr 2021
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
173
907
0
02 Mar 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
217
1,726
0
09 Jun 2018
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
252
1,394
0
01 Dec 2016
1